Other packages > Find by keyword >

mederrRank  

Bayesian Methods for Identifying the Most Harmful Medication Errors
View on CRAN: Click here


Download and install mederrRank package within the R console
Install from CRAN:
install.packages("mederrRank")

Install from Github:
library("remotes")
install_github("cran/mederrRank")

Install by package version:
library("remotes")
install_version("mederrRank", "0.1.0")



Attach the package and use:
library("mederrRank")
Maintained by
Sergio Venturini
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-29
Latest Update: 2023-09-05
Description:
Two distinct but related statistical approaches to the problem of identifying the combinations of medication error characteristics that are more likely to result in harm are implemented in this package: 1) a Bayesian hierarchical model with optimal Bayesian ranking on the log odds of harm, and 2) an empirical Bayes model that estimates the ratio of the observed count of harm to the count that would be expected if error characteristics and harm were independent. In addition, for the Bayesian hierarchical model, the package provides functions to assess the sensitivity of results to different specifications of the random effects distributions.
How to cite:
Sergio Venturini (2012). mederrRank: Bayesian Methods for Identifying the Most Harmful Medication Errors. R package version 0.1.0, https://cran.r-project.org/web/packages/mederrRank. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-09 06:29), 0.0.5 (2012-10-29 08:59), 0.0.7 (2012-11-17 20:41), 0.0.8 (2015-07-08 00:27)
Other packages that cited mederrRank R package
View mederrRank citation profile
Other R packages that mederrRank depends, imports, suggests or enhances
Complete documentation for mederrRank
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

hmeasure  
The H-Measure and Other Scalar Classification Performance Metrics
Classification performance metrics that are derived from the ROC curve of a classifier. The package ...
Download / Learn more Package Citations See dependency  
eyelinker  
Import ASC Files from EyeLink Eye Trackers
Imports plain-text ASC data files from EyeLink eye trackers into (relatively) tidy data frames for ...
Download / Learn more Package Citations See dependency  
data360r  
Wrapper for 'TCdata360' and 'Govdata360' API
Makes it easy to engage with the Application Program Interface (API) of the 'TCdata360' and 'Govdat ...
Download / Learn more Package Citations See dependency  
downlit  
Syntax Highlighting and Automatic Linking
Syntax highlighting of R code, specifically designed for the needs of 'RMarkdown' packages like 'pk ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
injectoR  
R Dependency Injection
R dependency injection framework. Dependency injection allows a program design to follow the depend ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA